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Fu-Jun Wang

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Open access Aug 2026

FerrGAT: Multi-Task Pre-Training of Graph Attention Networks for Low-Data Molecular Activity Prediction

FerrGAT, a graph attention network framework that addresses molecular bioactivity in low-data regimes through domain-relevant multi-task pre-training and dual-channel molecular representation learning, provides an effective and interpretable framework for molecular property prediction in data-limited scenarios.

Shichong Liu, Siqi Wei, Jian Zhao et al. · 0 citations
Open access Aug 2026

TROP2-targeting chimeras (TRTACs) for tumor-selective membrane protein degradation and enhanced drug delivery

These findings establish TROP2 as a robust LTR and provide a versatile eTPD platform with profound translational potential for tumor treatment, as well as design TRTAC-drug conjugates, enabling targeted protein degradation together with enhanced drug delivery.

Luping Chen, Xinying Fu, Wenqian Dong et al. · 0 citations